weihai-price

Extract Weihai engineering cost material data and synchronize it to Elasticsearch.

Updated May 22, 2026

Search Tags:#data extraction #synchronization #elasticsearch #engineering cost #weihai

Ready to run

npx skills add https://github.com/pengfit/cjt-skills --skill weihai-price

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: weihai-price
Source: https://github.com/pengfit/cjt-skills/tree/main/weihai-price
Command: npx skills add https://github.com/pengfit/cjt-skills --skill weihai-price

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, beautifulsoup4, pyyaml, elasticsearch, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the extraction and synchronization of Weihai engineering cost material information from a government website, saving time and effort in data collection and processing.

Core Features & Use Cases

Data Extraction: Automatically extract material information from Weihai government website.
Data Synchronization: Synchronize extracted data to Elasticsearch for further analysis and visualization.
Use Case: For organizations that need to track material prices in Weihai, this Skill can automate the process of collecting and updating this data, making it available for analysis and reporting.

Quick Start

Run the 'sync' command to start the data synchronization process for Weihai.

Frequently Asked Questions about weihai-price

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate extracting engineering cost material information from a government website?▼

You can automate engineering cost material extraction by running Python scripts that use requests and beautifulsoup4 to parse the Weihai government website. This synchronizes the extracted material pricing data directly into an Elasticsearch index for further analysis.

How do I synchronize web-scraped material pricing data into Elasticsearch?▼

Synchronizing web-scraped material pricing data into Elasticsearch is handled by executing the sync command within the Skill. This command processes the parsed HTML data and pushes the structured engineering cost records directly into your Elasticsearch instance for indexing and querying.

Do I need Python and BeautifulSoup to scrape Weihai engineering cost data?▼

Yes, you need Python with the beautifulsoup4 library to scrape Weihai engineering cost data, along with the requests library for handling HTTP interactions. These dependencies are required to automate the HTML parsing and data extraction from the government website.

What is the best way to track Weihai material prices for engineering cost analysis?▼

The best way to track Weihai material prices for engineering cost analysis is to automate the extraction pipeline and synchronize the data into Elasticsearch. This approach makes continuously updated material pricing information available for immediate querying, reporting, and visualization.

Can I use this data extraction workflow for government websites outside of Weihai?▼

This data extraction workflow is specifically configured for the Weihai government website's HTML structure. Applying it to other government websites for engineering cost data would require modifying the beautifulsoup4 parsing logic to match the target site's specific page structure.